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Quantile Regression Python Packages

Python packages with the GitHub topic quantile-regression. Sorted by relevance, with stars and monthly downloads.
zillow
quantile-forest

Quantile Regression Forests compatible with scikit-learn.

73K 255 32
henrikbostrom
crepes

Python package for conformal prediction

22K 579 45
RektPunk
mqboost

[Mach. Learn. 2026] Official implementation of "Monotone Composite Quantile Regression via Second-Order Gradient Boosting Framework"

3K 43 8
saattrupdan
doubt

Bringing back uncertainty to machine learning.

805 55 3
superlinear-ai
conformal-tights

👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster

738 118 5
burning-cost
insurance-quantile

Actuarial tail risk quantile and expectile regression for UK personal lines pricing, including EQRN extreme quantile neural nets (Pasche & Engelke 2024)

698 1 0
antononcube
regressionizer

Python package with a class that allows pipeline-like specification and execution of regression workflows.

500 2 0
luca-pernigo
kernel-quantile-regression

Kernel quantile regression

490 8 2
mhoward2718
pinball-qr

The fastest and most accurate methods for quantile regression, now in Python.

410 1 0
RektPunk
quantile-tree

Monotone quantile regressor

323 43 8
AccursedGalaxy
wbtc

Distributional crypto-return forecasting via Wasserstein-geodesic extrapolation in quantile-function space. WGeo family wins 12/12 (asset × horizon) cells over 6.75y walk-forward CRPS vs GARCH and classical baselines. v0.4.

142 1 0
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